Skin cancer classification using image processing and machine learning
- Islamabad (unpublished) 2021
- xi, 37 p. : ill., Col. ; 30 cm. +CD
Submitted in fulfillment of the requirements for the degree of Master of Science in Electrical Engineering to the Faculty of Engineering and Applied Sciences. Includes bibliographical references Thesis supervisor: Dr. Faraz Akram
Thesis (MS)--Riphah International University, 2021
English
Electrical Engineering--Skin cancer classification--Features extraction--SMOTE sampling--Image resizing--Matrix--FEAS